• Transactions of the Korean Society of Machine Tool Engineers
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• v.12 no.4
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• pp.1-8
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• 2003

It is well known that design cost is only about 5% of final product cost but over 70% of it is determined during design stage. Earlier in the product design and development cycle the design changes occur, more economic they become. Therefore, it is recommended that the manufacturing time and cost of product are considered in steps involved in designing and manufacturing a product as early as possible. In this study, it is proposed a possible way that cm be available for estimating manufacturing time of parts, which are manufactured by conventional material removal processes (e.g. turning, milling and drilling). For it to be useful in the early design stage, the minimum number of informations on dimension shape, and design features of part will be used in this method.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2002.10a
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• pp.93-96
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• 2002

The manufacturing paradigm has shifted dramatically over the past decade from “push” or mass production mode to “pull” or customer-driven, order-based manufacturing mode, as multitudes of customers now demand mass customization of configurable products. As a means to achieve such rapidly responsive manufacturing system, Advanced Planning System (APS) has become an essential software tool for achieving modern “build-to-order” and “configure-to-order” manufacturing environment. APS enables manufacturers to respond to variety of customer demands In real time by instantly configuring manufacturing processes based on specifications described in each purchase orders and providing capable-to-promise information directly to customer by performing rapid “what-if” manufacturing simulated scenarios. This paper discusses the working of such system as well as the business processes that incorporate such systems to enable efficient “build-to-order” environment.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.21 no.7
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• pp.10-20
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• 2022

Recently, metal additive manufacturing (AM) is being investigated as a new manufacturing technology. In metal AM, powder bed fusion (PBF) is a promising technology that can be used to manufacture small and complex metallic components by selectively fusing each powder layer using an energy source such as laser or an electron beam. PBF includes selective laser melting (SLM) and electron beam melting (EBM). SLM uses high power-density laser to melt and fuse metal powders. EBM is similar to SLM but melts metals using an electron beam. When these processes are applied, the mechanical properties and microstructures change due to the many parameters involved. Therefore, this study is conducted to investigate the effects of the parameters on the mechanical properties and microstructures such that the processes can be performed more economically and efficiently.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.3 no.2
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• pp.39-45
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• 2004

Generally industrial multi-articulated robots are used for parts assembly, welding, and painting processes. The high flexibility of them is very useful to not only parts assembly, welding, and painting processes, but also machining processes. But because of machining processes to need a high stiffness of machine structure, so machining is usually not tried at them, except deburring processes now. During past three years the works are carried out to improve the stiffness of a industrial multi-articulated robot With some gas spring as a first idea in this research area. As a result of that stiffness was significantly up, and found and investigated the machining possibility at it.

• Journal of Korean Society for Quality Management
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• v.33 no.3
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• pp.105-113
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• 2005

Six sigma has been the most influential management innovation program in a number of leading companies and its application has extended beyond manufacturing processes. Most companies have taken company-wide six sigma initiatives to also improve transactional and R&D processes. However, due to the limitation of existing methodologies, numerous difficulties arise during the six sigma application to non-manufacturing processes. In this study, a modified six sigma framework is proposed to facilitate six sigma implementation to transactional processes. The newly developed framework is applied to a six sigma project of the new product launching process of a marketing area.

• Journal of the Korea Safety Management & Science
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• v.24 no.4
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• pp.149-156
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• 2022

Manufacturing process mining performs various data analyzes of performance on event logs that record production. That is, it analyzes the event log data accumulated in the information system and extracts useful information necessary for business execution. Process data analysis by process mining analyzes actual data extracted from manufacturing execution systems (MES) to enable accurate manufacturing process analysis. In order to continuously manage and improve manufacturing and manufacturing processes, there is a need to structure, monitor and analyze the processes, but there is a lack of suitable technology to use. The purpose of this research is to propose a manufacturing process analysis method using process mining and to establish a manufacturing process mining system by analyzing empirical data. In this research, the manufacturing process was analyzed by process mining technology using transaction data extracted from MES. A relationship model of the manufacturing process and equipment was derived, and various performance analyzes were performed on the derived process model from the viewpoint of work, equipment, and time. The results of this analysis are highly effective in shortening process lead times (bottleneck analysis, time analysis), improving productivity (throughput analysis), and reducing costs (equipment analysis).

• 대한공업교육학회지
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• v.34 no.2
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• pp.87-102
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• 2009

The aim of this study is to select lesson contents of "Manufacturing Processes" textbook and to provide means to improve the compilation strategy based on the 2007 revised national curriculum. For accomplishing this purpose of the study, reviews of "Manufacturing Processes" textbook by 7th national curriculum and questionaries are conducted. Contents organization of lessons is done by specialists. The results are as followed: first, Changing in contents organization of units and chapters in "Manufacturing Processes" textbook based on the 2007 Revised National Curriculum is confirmed. Second, learning subjects of lessons are reformed and complemented. Third, contents organization of units, chapters, lessons are indicated.

• IE interfaces
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• v.18 no.3
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• pp.221-233
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• 2005

e-Manufacturing can be referred to as a system methodology enabling the integration of manufacturing operations and IT technologies to achieve objectives of an enterprise. It is recently regarded as a powerful solution to survive in a chaotic marketplace. While conducting an e-Manufacturing project, we first needed to capture collaborative processes conducted by multiple participants in order to define functions of a system supporting them. However, pervasive process modeling techniques including IDEF3, Petri nets, and UML are not sufficient for modeling collaborative processes. Therefore, we first briefly investigate several process modeling methods including aforementioned modeling methods and ARIS focusing on the collaboration point of view. Then, we propose a new modeling method referred to as Collaborative Process Modeling (CPM) to clearly describe collaborative processes. Also, we develop and illustrate a rule for transforming collaborative process models into Marked Graph models to use the analysis power of the Petri nets. Using CPM empowers us to develop collaborative process models with simple notations, understand and facilitate the realization of the collaboration, and verify models before rushing into the development.

• Advances in Computational Design
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• v.4 no.1
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• pp.43-52
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• 2019

Variation Analysis (VA) is used to simulate final product variation, taking into consideration part manufacturing and assembly variations. In VA, all the manufacturing and assembly processes are defined at the product design stage. Process Capability Data Bases (PCDB) provide information about measured variation from previous products and processes and allow the designer to apply this to the new product. A new challenge to this traditional approach is posed by the Industry 4.0 (I4.0) revolution, where Smart Manufacturing (SM) is applied. The manufacturing intelligence and adaptability characteristics of SM make present PCDBs obsolete. Current tolerance analysis methods, which are made for discrete assembly products, are also challenged. This paper discusses the differences expected in future factories relevant to VA, and the approaches required to meet this challenge. Current processes are mapped using I4.0 philosophy and gaps are analysed for potential approaches for tolerance analysis tools. Matching points of simulation capability and I4.0 intents are identified as opportunities. Applying conditional variations, incorporating levels of adjustability, and the un-suitability of present Monte Carlo simulation due to changed mass production characteristics, are considered as major challenges. Opportunities including predicting residual stresses in the final product and linking them to product deterioration, calculating non-dimensional performances and extending simulations for process manufactured products, such as drugs, food products etc. are additional winning aspects for next generation VA tools.

• Current Photovoltaic Research
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• v.12 no.1
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• pp.17-23
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• 2024

Photovoltaic (PV) power generation is the world's best and largest renewable energy that generates electricity with infinite sunlight. Solar cell modules are a component of photovoltaic power generation and must have a long-term durability of at least 25 years. The development of processes and equipment that can be recovered through the recycling of metals and valuable metals when the solar module's lifespan is over has been completed to the level of commercialization, but few processes have been developed that require repair due to initial defects. This is mainly due to the economic problems caused by remaking. However, if manufacturing processes such as repairing solar cell modules that have been proven to be early defects are established and the technical review of long-term reliability and durability reaches a certain level, it is considered that it will be a recommended process technology for environmental economics. In this paper, assuming that a defective solar cell module occurs artificially, a manufacturing process for replacement of solar cells was developed, and a technical verification of the manufacturing technology was conducted through long-term durability evaluation in accordance with KS C 8561. Through this, it was determined that remanufacturing technology for solar cell replacement of solar cell modules that occurred in a short period of time after installation was possible, and the research results were announced through a journal to commercialize solar modules using manufacturing technology in the solar market in the future.